فناوری بلاک‌چین بین‌صنعتی: فرصت‌ها و چالش‌ها در صنعت ۴.۰

Blockchain technology is part of the 4th industrialrevolution of Industry and has generated a lot of potential for stakeholders and endusers. From Bitcoin and Ethereum, to the third-generation of blockchains, thetechnology has transformed the digital landscape in many industrial sectors. Cross-IndustryBlockchain Technology: Opportunities and Challenges in Industry 4.0 explores the role of blockchains in industry 4.0across multiple industries. It covers the problems and new frontiersencountered by engineers and professionals for commercial and technical use. The range of Blockchain applicationscovered in the book include finance, big data, health industry,hydrophonics, and vehicle ad hoc networks. General readers and industryprofessionals interested in Blockchain technology and industry 4.0 will findinteresting information about current tech trends in this space. Cover Title Copyright End User License Agreement Contents Preface List of Contributors Blockchain for IoT Security and Privacy: Challenges, Application Areas and Implementation Issues Chaitali Choudhary1,*, Inder Singh1,* and Mohammad Shafiq2 INTRODUCTION Blockchain and its Key Concepts Working of Blockchain Blockchain Structure and its Operations Algorithms and Techniques Trust Essentials and Consensus Protocols IOT Security Ongoing Researches IoT Security using Blockchain IoT Security using Fog Computing IoT Security using Machine Learning IoT Security using Cryptography/Steganography Blockchain as Key to IoT Security Blockchain IoT Security: Implementation Challenges CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Distributed Ledger Technology and its Potential Applications – Financial Sector Sachin Sharma1,* and Kamal Kumar2 INTRODUCTION RECENT WORK IN DLT Early Adopters Followers New Entrants (2019) DLT FEATURES AND PROPERTIES DLT Based Blockchain in Digital Currencies DLT Features Distributed Property of the Ledger Validation using “Consensus Mechanism” Digital Signatures and Hash Functions DLT ADVANTAGES No Middleman and Decentralized in Nature Improved Auditability and Enhanced Transparency Perpetual and Testable Speed and Efficiency Gain Reducing Cost Improved cybersecurity Elasticity DLT RISKS AND CHALLENGES Technical Issues Immature Technology Transaction Response Time and Scalability Integration and Compatibility Legal and Regulatory Issues Industry Standards and Regulatory Evaluation Jurisdiction and Ownership - Legal Clarity Customer Due Diligence and Know-Your-Customer Dispute Resolution Mechanism Privacy Infrastructure Cost DLT APPLICATIONS DLT AND FINANCIAL INCLUSION CROSS BORDER REMITTANCE AND PAYMENT Ripple Abra Bitpesa Bitt SMART CONTRACTS EXPERIMENT PRACTICES Project Jasper Phase I Phase II Phase III Project BLOCKBASTER Project SALT Project UBIN Project Stella Project Khokha Project INTHANON SUMMARY CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Implementation of Blockchain Technology for Big Data Yasir Afaq1, Shaik Vaseem Akram2,*, Rajesh Singh2 and Mohammad Shafiq3 INTRODUCTION CATEGORIES OF BLOCKCHAIN Generation of Blockchain Blockchain 1.0 Blockchain 2.0 Blockchain 3.0 Significance of Blockchain Technology and Decentralization and its Effect Security Transparency Inexpensive Transaction Time Financial Efficiency Protect Business from Frauds Applications of Blockchain Technology Health Care Education Public Services Cyber Security BIG DATA Significance of Big Data Cost saving Time Reduction Understand the market Condition Control Online Reputation Using Big Data Analytics to Boost Customer Acquisition and Retention Usage of Big Data Analytics to Solve Problems and Promotional Insights into Advertisers Big Data Analytics as a Catalyst of Product Creation and Innovation Challenges in Big Data Data Mining Techniques for Big Data Clustering Classification Association Mining Rules Regression Social Network Analysis Applications of Big Data Healthcare Sector Education Sector Challenges Concerning the Application of Big Data in Education Remote Sensing Big Data Analysis Tools and Techniques Hadoop Spark Storm Cassandra Mongo DB Big Data Techniques INTEGRATION OF BLOCKCHAIN AND BIG DATA Data Integrity Manage Data Sharing Preventing Malicious Activity Predictive Analysis CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Hydroponics Monitoring System Based on IoT and Blockchain Harpreet Singh Bedi1,*, Raghav Gupta1, Manoj Sindhwani1 and Kamal Kumar Sharma1 INTRODUCTION DISCUSSION Hydroponics BLOCKCHAIN SOLUTIONS FOR IOT Features Blockchain Types Public Blockchain Private Blockchain Consortium Blockchain Greenhouse Hardware Server and Cloud WORKING CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Recent Trends in IoT Healthcare-based Blockchain Solutions Himanshu Sharma1, Hardik Chaurasia1, Arpit Jain2,* and Nazir Ahmed1 INTRODUCTION Healthcare Blockchain IOT Integrated Solutions using BCT and IoT BCT and IoT Integrated for Healthcare CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Blockchain Technology-based System in Vehicular Ad-hoc Network Manoj Sindhwani1, Charanjeet Singh1,* and Rajeshwar Singh2 INTRODUCTION ARCHITECTURE OF VANETS COMMUNICATION ARCHITECTURE OF VANET BLOCKCHAIN MEETS VANET TRUST BASED MODELS IN VANET FOR BLOCKCHAIN TECHNOLOGY CONCLUSION CONSENT FOR PUBLICATION CONFLICT OF INTEREST ACKNOWLEDGEMENT REFERENCES Subject Index Back Cover In the last two decades, many new fractional operators have appeared, often defined using integrals with special functions in the kernel as well as their extended or multivariable forms. Modern operators in fractional calculus have different properties which are comparable to those of classical operators. These have been intensively studied for modelling and analysing real-world phenomena. There is now a growing body of research on new methods to understand natural occurrences and tackle different problems.This book presents ten reviews of recent fractional operators split over three sections:1. Chaotic Systems and Control (covers the Caputo fractional derivative, and a chaotic fractional-order financial system)2. Heat Conduction (covers the Duhamel theorem for time-dependent source terms, and the Cattaneo ndash;Hristov model for oscillatory heat transfer)3. Computational Methods and Their Illustrative Applications (covers mathematical analysis for understanding 5 real-word phenomena: HTLV-1 infection of CD4+ T-cells, traveling waves, rumor-spreading, biochemical reactions, and the computational fluid dynamics of a non-powered floating object navigating in an approach channel)This volume is a resource for researchers in physics, biology, behavioral sciences, and mathematics who are interested in new applications of fractional calculus in the study of nonlinear phenomena.